A Primer on Deep Learning-Based Cellular Image Classification of Changes in the Spatial Distribution of the Golgi Apparatus After Experimental Manipulation

Material type: 図書

Author: Takao, Daisukeほか

Publisher: Humana New York

Publication date: 2022-12-14

Material Format: Digital

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Note (General)：: The visual classification of cell images according to differences in the spatial patterns of subcellular structure is an important methodology in cell...

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Material Type: 図書
Title: A Primer on Deep Learning-Based Cellular Image Classification of Changes in the Spatial Distribution of the Golgi Apparatus After Experimental Manipulation
Author/Editor: Takao, Daisuke
Kyunai, Yuki M.
Okada, Yasushi
Satoh, Ayano
Author Heading: Takao, Daisuke
Kyunai, Yuki M.
Okada, Yasushi
Satoh, Ayano
Publication, Distribution, etc.: Humana New York
Publication Date: 2022-12-14
Publication Date (W3CDTF): 2022-12-14
Periodical title: Golgi
Pages: 275-285
Text Language Code: eng
Subject Heading: Convolutional neural network
Image classification
Golgins
Golgi
Microtubule
Target Audience: 一般
Note (General): The visual classification of cell images according to differences in the spatial patterns of subcellular structure is an important methodology in cell and developmental biology. Experimental perturbation of cell function can induce changes in the spatial distribution of organelles and their associated markers or labels. Here, we demonstrate how to achieve accurate, unbiased, high-throughput image classification using an artificial intelligence (AI) algorithm. We show that a convolutional neural network (CNN) algorithm can classify distinct patterns of Golgi images after drug or siRNA treatments, and we review our methods from cell preparation to image acquisition and CNN analysis.
Access Restrictions: 限定公開
Related Material (DOI): 10.1007/978-1-0716-2639-9_18
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 岡山大学 : 岡山大学学術成果リポジトリ